Regularized CASPT2: an Intruder-State-Free Approach

Autor: Stefano Battaglia, Lina Fransén, Ignacio Fdez. Galván, Roland Lindh
Rok vydání: 2022
Předmět:
Zdroj: Journal of chemical theory and computation. 18(8)
ISSN: 1549-9626
Popis: In this work we present a new approach to fix the intruder-state problem (ISP) in CASPT2 based on sigma p regularization. The resulting sigma(p)-CASPT2 method is compared to previous techniques, namely, the real and imaginary level shifts, on a theoretical basis and by performing a series of systematic calculations. The analysis is focused on two aspects, the effectiveness of sigma(p)-CASPT2 in removing the ISP and the sensitivity of the approach with respect to the input parameter. We found that sigma p- CASPT2 compares favorably with respect to previous approaches and that different versions, sigma(1)-CASPT2 and sigma(2)-CASPT2, have different potential application domains. This analysis also reveals the unsuitability of the real level shift technique as a general way to avoid the intruder-state problem.
Databáze: OpenAIRE